Natural Language Processing (NLP) in Python for Beginners

Natural Language Processing (NLP) in Python for Beginners Free Download. Text Cleaning, Spacy, NLTK, Scikit-Learn, Deep Learning, word2vec, GloVe, LSTM for Sentiment, Emotion, Spam & CV Parsing

Natural Language Processing (NLP) in Python for Beginners Description

Requirements

  • Have a desire to learn
  • Elementary level math
  • Have basic understanding of Python and Machine Learning

Node-RED and ESP32 Project

What you’ll learn

  • Learn complete text processing with Python
  • Learn how to extract text from PDF files
  • Use Regular Expressions for search in text
  • Use SpaCy and NLTK to extract complete text features from raw text
  • Use Latent Dirichlet Allocation for Topic Modelling
  • Use Scikit-Learn and Deep Learning for Text Classification
  • Learn Multi-Class and Multi-Label Text Classification
  • Use Spacy and NLTK for Sentiment Analysis
  • Understand and Build word2vec and GloVe based ML models
  • Use Gensim to obtain pretrained word vectors and compute similarities and analogies
  • Learn Text Summarization and Text Generation using LSTM and GRU

Who this course is for:

  • Beginners in Natural Language Processing
  • Data Scientist curious to learn NLP

Natural Language Processing (NLP) in Python for Beginners Free Download

Part 1

Google Drive – Mshare

Part 2

Google Drive – Mshare

Part 3

Google Drive – Mshare

Pass: http://nhasachtinhoc.blogspot.com

Content From: https://www.udemy.com/course/nlp-in-python/

Leave a Comment